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On July 16, 2024 at 1:21:01 PM UTC, Gravatar rivas:
  • Changed title to Detecting clusters of relatedness between Countries-Indicators (previously Demo: Communities over CoyPu Knowledge Graph)


  • Updated description of Detecting clusters of relatedness between Countries-Indicators from

    Detecting clusters of relatedness between Countries-Indicators
    to
    CoyPu Knowledge Graph (KG) contains a huge amount of data about all the countries worldwide, including each country's performance based on thousands of indicators presented in the World Bank datasets. An indicator refers to a specific metric measuring a particular aspect of economic, social, or environmental development. We aim to detect communities of Country-Indicator and predict relationships between them. We follow a hybrid AI framework that employs inductive learning to identify a partitioning of nodes within a KG. The proposed framework comprises four design patterns describing the sub-systems that implement the tasks mentioned above toward solving the problem of detecting communities.



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